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Karel Bartusek
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2020 – today
- 2021
- [c21]Martin Kolarík, Radim Burget, Kamil Ríha, Karel Bartusek:
Suitability of CT and MRI Imaging for Automatic Spine Segmentation Using Deep Learning. TSP 2021: 390-393
2010 – 2019
- 2015
- [c20]Pavel Dvorak, Karel Bartusek, Jan Mikulka:
Tissue segmentation of brain MRI. TSP 2015: 735-738 - [c19]Petr Marcon, Karel Bartusek, Andrea Sprlakova, Premysl Dohnal:
The correlation of blood test results with the data obtained from MRI images during the determination of pathology in small bones. TSP 2015: 739-742 - 2014
- [c18]Pavel Dvorak, Karel Bartusek:
Fully Automatic 3D Glioma Extraction in Multi-contrast MRI. ICIAR (2) 2014: 239-246 - [c17]Pavel Dvorák, Karel Bartusek:
Brain tumor locating in 3D MR volume using symmetry. Image Processing 2014: 903432 - 2013
- [c16]Pavel Dvorak, Walter G. Kropatsch, Karel Bartusek:
Automatic detection of brain tumors in MR images. TSP 2013: 577-580 - [c15]Petr Marcon, Karel Bartusek, Jan Mikulka, Eva Gescheidtova:
Statistics-based classification of tissues in the mandibular region. TSP 2013: 624-627 - 2012
- [c14]Petr Marcon, Karel Bartusek:
Multiparametric data collection of animal tissues in magnetic resonance imaging. TSP 2012: 566-569 - 2011
- [j1]Karel Bartusek, Jiri Prinosil, Zdenek Smékal:
Wavelet-based de-noising techniques in MRI. Comput. Methods Programs Biomed. 104(3): 480-488 (2011) - [c13]Radim Korinek, Karel Bartusek, Jiri Vondrak, Petr Marcon:
Measurement and processing of relaxation times T1 and T2 during the UV polymerization process. TSP 2011: 385-390 - [c12]Petr Marcon, Karel Bartusek, Radim Korinek, Zdenek Dokoupil:
Correction of artifacts in diffusion-weighted MR images. TSP 2011: 391-397
2000 – 2009
- 2009
- [c11]Ondrej Liberda, Karel Bartusek, Zdenek Smékal, Jan Mikulka:
Data processing in studying the temporomandibular joint, using MR imaging and sonographic techniques. DPS 2009: 1-6 - [c10]Karel Bartusek, Eva Gescheidtova, Lucie Homolová, Zdenek Dokoupil:
Use of Magnetic Resonance to Determine the Circumference of Radial Slices of Norway Spruce. ICONS 2009: 234-237 - [c9]Karel Bartusek, Eva Gescheidtova, René Kizek, Zdenek Dokoupil:
Data Processing in Studying the Growth of Early Spruce Embryos, Using MR Imaging Techniques. ICONS 2009: 238-242 - 2008
- [c8]Zdenek Dokoupil, Karel Bartusek, Eva Gescheidtova:
Noise Generator with DSP96002. ICONS 2008: 296-299 - [c7]Karel Bartusek, Zdenek Smékal, Eva Gescheidtova:
Analysis of MR Images Deformed by Magnetic Implants. ICONS 2008: 312-316 - 2007
- [c6]Eva Gescheidtova, Radek Kubasek, Karel Bartusek, Zdenek Smékal:
Shortening the Switching Times of Gradients for MR Tomography and Spectroscopy. ICN 2007: 71 - 2006
- [c5]Eva Gescheidtova, Radek Kubasek, Karel Bartusek:
Testing the Quality of Magnetic Gradient Fields for Studying Self-Diffusion Processes in Biological Specimens by Magnetic Resonance Methods. APCCAS 2006: 888-891 - [c4]Radek Kubasek, Zdenek Smékal, Eva Gescheidtova, Karel Bartusek:
Design of Two-channel Half-band Bank of Digital Filters using Optimization Methods. ICN/ICONS/MCL 2006: 151 - [c3]Karel Bartusek, Eva Gescheidtova, Zdenek Smékal:
Measuring the Diffusion of Nuclei in Biological Systems by Magnetic Resonance Methods: Checking the Quality of Gradient Magnetic Fields. ICN/ICONS/MCL 2006: 194 - 2005
- [c2]Eva Gescheidtova, Radek Kubasek, Zdenek Smékal, Karel Bartusek:
Automatic Adjustment of Time-Variant Thresholds When Filtering Signals in MR Tomography. ICN (2) 2005: 384-391 - 2002
- [c1]Karel Bartusek, Eva Gescheidtova:
Adaptive digital filter for gradient magnetic fields measurement in MR tomography. APCCAS (1) 2002: 79-82
Coauthor Index
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